|
|
Absolute deviation, 绝对离差% v! S* h. ^, t1 i6 z9 W2 a: c" T
Absolute number, 绝对数
4 K/ B' a5 N( f6 ^Absolute residuals, 绝对残差2 K7 g" {1 } ~ E
Acceleration array, 加速度立体阵
* N f1 }4 l9 Z I1 G$ [* MAcceleration in an arbitrary direction, 任意方向上的加速度
3 i: S4 M0 b" V# F* }/ IAcceleration normal, 法向加速度
* T# ` i3 f3 F/ ]& u5 ?Acceleration space dimension, 加速度空间的维数7 P6 D6 H! H" w" c8 I
Acceleration tangential, 切向加速度3 w# ?; O' p: U8 ?( R* U
Acceleration vector, 加速度向量
* V% I2 R- Q# O( XAcceptable hypothesis, 可接受假设. ?$ n1 |# C) @0 R; B
Accumulation, 累积
+ a/ U% `& X4 H0 S5 ^2 mAccuracy, 准确度
1 n, q I) L" G' R+ _Actual frequency, 实际频数% F$ i$ Q& I8 l& _2 e
Adaptive estimator, 自适应估计量' ?0 \; P6 F; z
Addition, 相加
3 [+ i# b9 V) mAddition theorem, 加法定理2 n1 e( `, W J2 c
Additivity, 可加性
$ ~+ q$ K' v5 Q' L4 k4 x; bAdjusted rate, 调整率! F+ `/ e! G+ ~
Adjusted value, 校正值
4 d3 O7 W+ p: A! ^1 `- I' W5 FAdmissible error, 容许误差# l E1 `* i% w" l1 B6 Z
Aggregation, 聚集性. W$ X' d# N/ {4 E @* c1 S& s
Alternative hypothesis, 备择假设3 [% J) U; D, P3 r
Among groups, 组间0 T2 D Y& P0 U* }
Amounts, 总量& @ h0 t5 A$ k+ X
Analysis of correlation, 相关分析
$ P# R$ }8 O3 @. X4 E; t% C3 m7 mAnalysis of covariance, 协方差分析- m, f' ?; u( B8 _1 d9 a
Analysis of regression, 回归分析6 U) L5 N* K2 D+ z- D! N9 p2 J# [
Analysis of time series, 时间序列分析
5 ~0 T g0 i; I( pAnalysis of variance, 方差分析
% f ~% R# |* N. l2 B# B$ ? m; |Angular transformation, 角转换2 i7 T5 ^) e: `3 \8 h. O
ANOVA （analysis of variance）, 方差分析% k0 k* Q y& Z& }5 N
ANOVA Models, 方差分析模型* w0 Q, ]8 a$ a) C( p
Arcing, 弧/弧旋- Y: e- G- `. x# n
Arcsine transformation, 反正弦变换
" t& i/ V+ e3 U& s9 W$ SArea under the curve, 曲线面积) G; Q& t" I" T r% x0 W6 L
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
# b9 |3 _- T. ~" aARIMA, 季节和非季节性单变量模型的极大似然估计
, h( {' J4 j$ `Arithmetic grid paper, 算术格纸
, x, F. O; k0 X) bArithmetic mean, 算术平均数# a! h- ]8 O6 x8 y7 w4 f0 |- S3 D
Arrhenius relation, 艾恩尼斯关系' K0 w% }* j- g+ q5 `
Assessing fit, 拟合的评估9 U" X+ v. ?! H) a: H
Associative laws, 结合律. b1 G s/ @5 @! C; f% J7 {! {
Asymmetric distribution, 非对称分布
3 M! x6 e/ K; Z3 t V5 WAsymptotic bias, 渐近偏倚
( F0 S+ X- ^, }Asymptotic efficiency, 渐近效率! @; H) }/ J7 `4 J w5 P* }
Asymptotic variance, 渐近方差
\% X7 I: ~# g/ sAttributable risk, 归因危险度& o6 a4 w! ~( g" b* U6 h& B6 d4 i
Attribute data, 属性资料4 q5 O x, j: `
Attribution, 属性, H0 H: c0 d/ R2 O
Autocorrelation, 自相关' T5 |. f( l7 L$ x! E
Autocorrelation of residuals, 残差的自相关; O5 d# n- i6 k' R0 }) S; g6 f3 C( a; Z
Average, 平均数0 R) P. F$ l0 A6 W
Average confidence interval length, 平均置信区间长度0 \( T+ Z4 O1 h. J
Average growth rate, 平均增长率
& Q! }( N+ X' ~( @Bar chart, 条形图
$ Z$ l, W) d6 Q" }' S% w& i% ?9 lBar graph, 条形图4 T+ U. |' g% a6 f6 o; _1 X
Base period, 基期" e9 b( w6 F: \# \
Bayes' theorem , Bayes定理
* x; h( G7 q ?) U: OBell-shaped curve, 钟形曲线
/ U0 ^8 E! @( H. K* {9 FBernoulli distribution, 伯努力分布
, q1 q/ m& t1 T, LBest-trim estimator, 最好切尾估计量
% Z. \8 j! Z. T( i; i5 PBias, 偏性$ O. ^9 \. z# G4 W3 `
Binary logistic regression, 二元逻辑斯蒂回归
8 p! [ U" i4 B8 {Binomial distribution, 二项分布0 T2 N" X9 {+ r; d2 W4 x& v0 V
Bisquare, 双平方% S9 r' _7 B/ j# I s0 [! ?1 h( m
Bivariate Correlate, 二变量相关) E! u. {1 u$ `9 k& k+ _! M
Bivariate normal distribution, 双变量正态分布
$ a* O+ l6 G6 t0 y7 X% jBivariate normal population, 双变量正态总体
! _8 o9 i" E+ t6 k3 _- N" p nBiweight interval, 双权区间3 ~$ W! c# D* E
Biweight M-estimator, 双权M估计量
5 [) n8 `5 k! L) wBlock, 区组/配伍组* V; Q+ S8 z+ h( ]2 E4 S' S- [
BMDP(Biomedical computer programs), BMDP统计软件包% B. ]" T4 H- h/ p; F& Z
Boxplots, 箱线图/箱尾图
5 y+ H J, T4 M3 K: x2 ?Breakdown bound, 崩溃界/崩溃点
6 Q" A; r; M$ d% j( XCanonical correlation, 典型相关2 ]1 V% |2 m* k+ L! l
Caption, 纵标目# I8 v+ F! _6 o E8 |
Case-control study, 病例对照研究
1 Y% b2 a4 n; y: b3 g8 \Categorical variable, 分类变量
9 `. L2 y. e& A/ I5 J/ r! M7 ^Catenary, 悬链线7 |( m* v* ]; @ I& D
Cauchy distribution, 柯西分布
0 Z0 X8 |' W& M7 F. R8 QCause-and-effect relationship, 因果关系! S9 C" s' C4 H$ P8 D F
Cell, 单元/ N) G$ P! D6 b
Censoring, 终检0 b- |; n" A- Q0 d# @
Center of symmetry, 对称中心# \2 g- ?$ v% `- M# \
Centering and scaling, 中心化和定标
; u( R! K/ W% }% o2 kCentral tendency, 集中趋势
* F3 g! V6 b+ g) T+ BCentral value, 中心值
) z5 e5 \3 N' ^4 w9 }CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
- K. `2 B. I/ p3 I4 JChance, 机遇7 h" C" M7 H6 A" _* _
Chance error, 随机误差% P0 R! k# F/ I/ p# h8 U
Chance variable, 随机变量# S* a: s1 Q8 b" `" M
Characteristic equation, 特征方程
! B0 m! k: v8 X: a d+ ]' LCharacteristic root, 特征根
/ K q" o- `+ l" SCharacteristic vector, 特征向量& v; X$ X5 e9 N% ?* t- |
Chebshev criterion of fit, 拟合的切比雪夫准则
4 M8 k) K7 h4 L2 K3 IChernoff faces, 切尔诺夫脸谱图
- j, q q* J2 |Chi-square test, 卡方检验/χ2检验' z1 x1 D' K: N$ A
Choleskey decomposition, 乔洛斯基分解9 \; Y D, ?) w
Circle chart, 圆图
/ l9 }7 B' h( RClass interval, 组距5 v! R4 D: I0 g& { @! w
Class mid-value, 组中值
+ ]$ @6 X0 ~! s3 G' \Class upper limit, 组上限5 g4 v/ j4 E8 M M% \8 E0 n" k
Classified variable, 分类变量4 D. z% `& t6 X6 o8 C% v: a
Cluster analysis, 聚类分析, N+ l1 ~0 i- R
Cluster sampling, 整群抽样- d4 c1 W; _0 r2 s( R$ `6 j+ K7 @! T, s9 f
Code, 代码
5 a8 j n5 m" `3 o: ]Coded data, 编码数据& }4 n3 d- }: d$ h
Coding, 编码+ w6 L j0 ~- I" e: U
Coefficient of contingency, 列联系数+ M6 e# f, l: V" ?! h
Coefficient of determination, 决定系数
. t: m' J/ L$ o) l0 k, h0 O3 UCoefficient of multiple correlation, 多重相关系数) y- B9 G$ P) o( x& q; |! x- n, z
Coefficient of partial correlation, 偏相关系数: @8 s, r; j* D- {- g" m
Coefficient of production-moment correlation, 积差相关系数% w# ~% Z. c& F
Coefficient of rank correlation, 等级相关系数
# z/ y i1 P) Z8 A: W" Y; O' fCoefficient of regression, 回归系数% k+ F9 O6 h1 J5 o) c" |8 d) O
Coefficient of skewness, 偏度系数
& j9 _( G! `- d$ d; M; T" nCoefficient of variation, 变异系数
- q& P) \$ d4 [4 Y! gCohort study, 队列研究) h( I; R6 R9 f
Column, 列" D9 b& U, t4 w
Column effect, 列效应
3 K2 U# `/ l% p9 [/ YColumn factor, 列因素2 b1 y# r- l- F9 x
Combination pool, 合并5 ^2 R' Q' A* _9 z' _! T2 V
Combinative table, 组合表
' Z- v( Y+ u. `) s( g; aCommon factor, 共性因子" X0 y; E( E" r1 A9 s% d8 Z: p% i6 H
Common regression coefficient, 公共回归系数
/ m- @$ b U% W6 l! T wCommon value, 共同值% \* Y% ^; T9 e/ O) N) K
Common variance, 公共方差
7 v: {+ }. C/ X' B. r, P: BCommon variation, 公共变异
0 }, R9 @/ ~0 b( t! @% ~% YCommunality variance, 共性方差, {6 G( a$ J) T" ]6 K3 E$ L
Comparability, 可比性$ E3 ~! A. J F$ D7 l, Z2 b5 _
Comparison of bathes, 批比较
% J" u) H6 x) V/ p8 v; y) pComparison value, 比较值
5 y# V; @5 _7 h2 B6 C" jCompartment model, 分部模型9 z& |6 G6 ?$ W* s, m8 D% O
Compassion, 伸缩' y p, T( _4 F* M
Complement of an event, 补事件9 ?9 p) l8 K$ I; M% W' |- m
Complete association, 完全正相关$ J! n% b, F7 @- M0 F. h
Complete dissociation, 完全不相关
: \. N$ N% K) `4 r0 ?5 m5 KComplete statistics, 完备统计量
8 m. E9 {* t& CCompletely randomized design, 完全随机化设计. l, N9 k3 H! |/ }
Composite event, 联合事件/ G/ a. h* w. v8 r2 n
Composite events, 复合事件: l" D7 M" n# N+ v/ E
Concavity, 凹性
$ {0 ]( A% D( b5 W' ~Conditional expectation, 条件期望' R7 q# {$ G6 h7 r- D6 o
Conditional likelihood, 条件似然- D( ~. d) v, t) [9 c% z, h# p
Conditional probability, 条件概率; G) v1 N2 m$ `8 J, T5 w0 I
Conditionally linear, 依条件线性) i' N# }& J+ |# H: Y
Confidence interval, 置信区间! A7 q# H+ ^7 h7 S
Confidence limit, 置信限1 Y* `$ H2 I, [" ?9 W; N2 ?6 r) d
Confidence lower limit, 置信下限
# @1 R( N2 h' p' x& `* h, @0 t2 Q* CConfidence upper limit, 置信上限! ^) L, q8 F: r4 g! M
Confirmatory Factor Analysis , 验证性因子分析
, h7 Z z4 e8 ]) p2 D8 l8 J7 nConfirmatory research, 证实性实验研究
% }9 g0 j- O" h DConfounding factor, 混杂因素5 q; L6 A2 X* R
Conjoint, 联合分析, F$ u2 Y# r ]9 C! K( O# I
Consistency, 相合性
9 j; L# c0 T9 ?5 r: vConsistency check, 一致性检验+ {$ W0 A+ A2 j0 l; [, J6 l
Consistent asymptotically normal estimate, 相合渐近正态估计
9 {) _3 g' Z3 I& l/ ZConsistent estimate, 相合估计) O7 M/ e0 ]/ l$ x5 i r: m- W
Constrained nonlinear regression, 受约束非线性回归
# t' |3 ]# B" A: J' _9 b" W$ fConstraint, 约束$ d' Z' a5 N: H
Contaminated distribution, 污染分布
6 ^2 Y7 R/ P4 {5 j' l' H" AContaminated Gausssian, 污染高斯分布- w) w3 \; ^8 F: X5 V2 s5 ~
Contaminated normal distribution, 污染正态分布; i# B9 k+ L/ q, S5 ?- B! V
Contamination, 污染* ~% C2 D7 D. L$ F! O; h
Contamination model, 污染模型2 {0 t; Q, A6 s7 y) l( }+ N
Contingency table, 列联表
6 N7 Y4 {- j: ]- s3 C& y; Z2 oContour, 边界线, V3 E @% I+ L: l3 N: S% h
Contribution rate, 贡献率* c p+ u g( F- I
Control, 对照: N& | x" X% `# @
Controlled experiments, 对照实验) N9 T7 o; Y1 c& }" P! ]' x9 t. S; l
Conventional depth, 常规深度# w: s/ a' ^+ H Y1 k
Convolution, 卷积
8 v, W) `. Y& e# r6 V4 u9 PCorrected factor, 校正因子
9 W7 Z3 l/ s$ P) SCorrected mean, 校正均值
; x0 V7 X: r2 }' B/ OCorrection coefficient, 校正系数
2 h8 d) C) n4 gCorrectness, 正确性; F7 x0 k: m# ?
Correlation coefficient, 相关系数
1 R* @* M0 T- x) l9 q; qCorrelation index, 相关指数
! A4 m; H$ ^8 v9 i R' C" ACorrespondence, 对应/ `/ V/ Y$ F' b# k
Counting, 计数/ T( x1 |6 v, ? a r
Counts, 计数/频数6 X: H5 T; z3 r* i! o
Covariance, 协方差
& t1 Y" Q5 }0 l$ W- F- cCovariant, 共变 ; B( k& U% K. S' q7 I: F4 L
Cox Regression, Cox回归
9 g% B0 U1 y, \3 qCriteria for fitting, 拟合准则
+ D6 ~# N& c4 F( T$ ICriteria of least squares, 最小二乘准则 `! c! e4 u& r+ |$ I! ]$ A3 \
Critical ratio, 临界比" c0 w. N9 g( U W. y# h# d1 O
Critical region, 拒绝域3 I. J; o w! R' g
Critical value, 临界值) i1 Q; k4 a/ F# U; L
Cross-over design, 交叉设计
5 R5 {& W- E, `5 _* MCross-section analysis, 横断面分析
3 x" ^3 p7 Y2 v/ fCross-section survey, 横断面调查- t* v7 x; D/ o
Crosstabs , 交叉表
% D3 k- r, J" _# x( r/ UCross-tabulation table, 复合表
) o/ {" m! Q- b5 M% sCube root, 立方根, v3 I* C/ F2 s2 [2 R
Cumulative distribution function, 分布函数
0 J) J2 r, a" q2 SCumulative probability, 累计概率- [2 c }* F2 L
Curvature, 曲率/弯曲; P: z1 |7 Q' N! f% F, A& H8 y" b
Curvature, 曲率
; C2 B7 q- s" X6 B0 L0 y4 Q0 a8 ^Curve fit , 曲线拟和 1 \! x; M& s5 G8 n) k K7 F' ~
Curve fitting, 曲线拟合6 q9 r4 R7 K. ?8 y' I
Curvilinear regression, 曲线回归/ }5 K7 D9 [/ K4 r8 G' d
Curvilinear relation, 曲线关系0 T% n- k) c' L1 \. w6 ]
Cut-and-try method, 尝试法& z' o; v/ k( k `0 G5 Y6 y
Cycle, 周期4 V5 {5 e5 z( q8 A
Cyclist, 周期性
& C3 v1 l+ q6 O6 }0 t6 k0 jD test, D检验
) W6 C6 r. i4 w- G5 B# y4 IData acquisition, 资料收集
! r0 q- L1 V; W. _& n [ v/ X1 WData bank, 数据库
% f0 z# u4 w# e5 Q: k* b8 I: }Data capacity, 数据容量. Z2 q8 L5 w2 r7 t
Data deficiencies, 数据缺乏' F0 I* f% D; |, f4 k
Data handling, 数据处理. B& i$ I9 _9 J( N [& h
Data manipulation, 数据处理- P7 t. W# m Q5 [
Data processing, 数据处理
- ]. u3 `7 M2 Y1 JData reduction, 数据缩减
/ w7 f- L& B# ?0 O8 |Data set, 数据集
3 s" S- X. g) @( FData sources, 数据来源% ?1 q( S, F, X
Data transformation, 数据变换* `5 g I* O' p9 n" ?" Q
Data validity, 数据有效性3 E) S4 O! Z8 S6 n6 G5 u, U5 e
Data-in, 数据输入
. f' f' G, V) g9 p$ T8 TData-out, 数据输出
7 {0 J! S0 X% I6 W# ^Dead time, 停滞期
* w5 v& Z3 J0 `+ a0 I0 dDegree of freedom, 自由度
7 Z4 x+ O6 W( J% ?) ~& V4 {Degree of precision, 精密度( j: I" @! ~, |5 z
Degree of reliability, 可靠性程度
/ \4 ?6 U" c9 j9 S. y) eDegression, 递减
. L* j# c& X- V5 r; e$ p3 \Density function, 密度函数
6 c! }0 r9 R- i* l9 Z. ADensity of data points, 数据点的密度
! w+ i' p9 c8 h0 T2 gDependent variable, 应变量/依变量/因变量9 O2 c9 u' }7 C6 ?+ y
Dependent variable, 因变量6 i$ l* u- Q. U& r1 Y
Depth, 深度
+ m! \0 Y$ Q6 o' E! aDerivative matrix, 导数矩阵
5 t+ `9 M ^9 r6 ?3 P+ }Derivative-free methods, 无导数方法0 O- e9 S) s! z7 c7 P
Design, 设计
6 U! N, D1 W: _1 `, r$ g) }2 A$ r. jDeterminacy, 确定性
6 K" G+ Z( s( H# WDeterminant, 行列式
2 s2 E4 l5 `7 V6 `/ p! ]& l6 kDeterminant, 决定因素 `3 x, p# v/ L2 a
Deviation, 离差9 T* B' ]: J+ F: L/ g/ y
Deviation from average, 离均差
5 Y2 w( g" A4 q( u" kDiagnostic plot, 诊断图0 m+ {# r5 J; O" X0 o- a9 h
Dichotomous variable, 二分变量8 p5 B" U# |- ]8 B4 I, v8 Q
Differential equation, 微分方程
- E8 X# a1 o2 {# I. q! LDirect standardization, 直接标准化法
9 V4 a) u6 R" y% |$ q# [2 sDiscrete variable, 离散型变量2 b/ E( w2 ?1 p
DISCRIMINANT, 判断 2 a: L# m* [5 z3 ^+ e
Discriminant analysis, 判别分析
$ x' W/ [, c2 p* n5 m1 ADiscriminant coefficient, 判别系数
+ t. j& Z4 m; }# @; {1 d( ^Discriminant function, 判别值
1 w$ M( c* U# B( Y7 i) oDispersion, 散布/分散度" g7 d: g( ?8 G7 Q4 @7 ]
Disproportional, 不成比例的
5 H, ~" g8 _9 l+ U0 M# P/ B! EDisproportionate sub-class numbers, 不成比例次级组含量
& ?( x9 }) _* q$ p3 sDistribution free, 分布无关性/免分布1 ]+ v' v4 [9 L
Distribution shape, 分布形状; T8 K4 C! V! ~1 f9 U
Distribution-free method, 任意分布法& ~1 m4 E( l6 u! N; P" V
Distributive laws, 分配律 Q" {- z4 e, [# D4 ~
Disturbance, 随机扰动项
( Y e" R7 g: R; @- T* YDose response curve, 剂量反应曲线; t- S) L% D" n! j1 J ?- [
Double blind method, 双盲法& C0 v! o/ b$ P- z. g
Double blind trial, 双盲试验" h6 \: [& [7 }3 p1 |8 V2 d
Double exponential distribution, 双指数分布& y9 N, ^$ z- J( _, y
Double logarithmic, 双对数
- u+ w. ]% l1 _% V8 K- p! FDownward rank, 降秩
; Z+ y w7 X% O4 s% _# TDual-space plot, 对偶空间图
( E% x- }) {. \( T8 w w' t- WDUD, 无导数方法
+ ?2 R! P6 N. l* h; e$ R4 BDuncan's new multiple range method, 新复极差法/Duncan新法
/ Y# V! O3 [1 p6 cEffect, 实验效应
' f8 a8 l$ M3 _( E8 J& hEigenvalue, 特征值
1 U/ _2 C: s+ j8 n! s: AEigenvector, 特征向量
) r6 y: m# C( P* @Ellipse, 椭圆4 i9 y; _/ F1 o* ]4 J: N7 J+ J7 V
Empirical distribution, 经验分布, R. B- a, ?- u- G
Empirical probability, 经验概率单位
) i' A! v: x& @7 t" D+ k. h- SEnumeration data, 计数资料$ O9 |4 P( Q a" H* \8 O
Equal sun-class number, 相等次级组含量
2 x/ d7 J4 J0 V& IEqually likely, 等可能
& c) F4 J2 ]: N3 J; oEquivariance, 同变性* Q3 w" j4 \) \4 l
Error, 误差/错误
" H8 q6 |# L; [+ Z# fError of estimate, 估计误差4 ~+ y2 a% W/ O
Error type I, 第一类错误& K8 p) }. Q x# K
Error type II, 第二类错误
( ]& Z7 u7 A! ?3 @# E; pEstimand, 被估量
U1 b7 B, `/ d6 @$ A9 v' kEstimated error mean squares, 估计误差均方( d: p8 @/ w& i- O" J( r
Estimated error sum of squares, 估计误差平方和
1 o2 b1 L0 @8 \4 N3 K: XEuclidean distance, 欧式距离
7 S7 Z3 h2 M+ H2 W) y; k# `: MEvent, 事件 k" O" j z. m1 K5 o" I
Event, 事件
; q0 g( n& R- m5 TExceptional data point, 异常数据点 ^6 f8 [3 W0 B8 @. a
Expectation plane, 期望平面' k5 _1 \5 D9 V: C, b. L
Expectation surface, 期望曲面
0 T: R& K) ]% s4 E4 ^Expected values, 期望值
5 I2 S% K4 _ }' ]Experiment, 实验
9 l3 c/ S+ y1 k/ N5 D3 cExperimental sampling, 试验抽样
: i7 z: B: ?2 q. w! fExperimental unit, 试验单位
1 W: ?* T: D/ X+ ^3 ?* E" P- iExplanatory variable, 说明变量
3 a& N" v8 e, k% f1 iExploratory data analysis, 探索性数据分析% D$ X: ]( {$ P5 a
Explore Summarize, 探索-摘要
" U k+ ?" h3 j1 Z" F1 pExponential curve, 指数曲线0 j9 W5 K% U3 h4 U
Exponential growth, 指数式增长3 S# J a h% k8 g
EXSMOOTH, 指数平滑方法
7 B- c% D9 P- N! w& [Extended fit, 扩充拟合6 j+ A v4 v7 e( ~ |0 R. H% [
Extra parameter, 附加参数# z0 k- a4 X# D8 a" b/ Y u
Extrapolation, 外推法
" J/ H0 d/ s8 n. T6 h1 eExtreme observation, 末端观测值
1 w. J: ?2 o5 a. Y* b2 HExtremes, 极端值/极值( V1 b) _+ f% C {: r4 F
F distribution, F分布
% b& r) C' a. k9 ?; D) x5 C- ?F test, F检验
. a0 h$ Z3 _5 y& P' Y0 d0 XFactor, 因素/因子
* I, D6 j$ r& w3 @& tFactor analysis, 因子分析% U/ y: w6 L1 w! h. b$ w3 b
Factor Analysis, 因子分析1 _" p& P7 Z+ O- R, V
Factor score, 因子得分 , g5 b3 D q$ `$ A/ r
Factorial, 阶乘3 l7 x* \8 Z$ p4 ~
Factorial design, 析因试验设计1 E# L& ~, \, Q2 U6 O1 H8 g
False negative, 假阴性
5 w6 I0 [$ j9 q) GFalse negative error, 假阴性错误% j/ J7 `+ K1 @+ w; G3 [
Family of distributions, 分布族- L; a7 B; `9 s: m f% e; h5 Z
Family of estimators, 估计量族 X' K5 T( x+ g- X7 N: `
Fanning, 扇面
5 ?0 m( l7 n' {1 w2 OFatality rate, 病死率4 n# K) _% W. D$ |9 G* E
Field investigation, 现场调查$ Y! ]/ {# t- y) f+ M
Field survey, 现场调查( i# Z: A4 h$ f2 Q
Finite population, 有限总体
& w8 s7 i3 ~% {6 fFinite-sample, 有限样本
. q" r, c x$ bFirst derivative, 一阶导数
8 V7 M/ b' J0 d7 G' ]- gFirst principal component, 第一主成分! [! X7 s5 R8 Q" T6 C# E
First quartile, 第一四分位数
7 e* |: R) q+ y6 t' ZFisher information, 费雪信息量6 J4 c% @2 v' X0 }0 G+ ~
Fitted value, 拟合值
2 L+ U" X; B: h8 k! y pFitting a curve, 曲线拟合& w) s" X1 u2 F5 L& q/ A
Fixed base, 定基
1 h4 x& o5 i3 g/ k' EFluctuation, 随机起伏) b7 L- X1 ~: e' x0 k
Forecast, 预测3 Z6 {1 K/ l/ n5 e* s' Z: }/ _* p
Four fold table, 四格表# ]5 t0 |& R7 O- r
Fourth, 四分点
6 X2 {2 D1 P5 ?+ Z) _Fraction blow, 左侧比率1 ^$ @4 v" ?- ^, V
Fractional error, 相对误差) Q& E5 M" ?8 a3 a9 q/ w
Frequency, 频率
5 E6 [3 Q; v2 M) TFrequency polygon, 频数多边图! Y% E5 U2 I- c9 o2 ^
Frontier point, 界限点% T1 h" B0 c9 j1 R
Function relationship, 泛函关系/ N/ M/ K3 a: M$ W k
Gamma distribution, 伽玛分布2 O N: ^5 ^8 C1 e
Gauss increment, 高斯增量1 o, z% M% }4 G) U" l$ I0 z
Gaussian distribution, 高斯分布/正态分布
2 `' |8 w. A8 n. E1 mGauss-Newton increment, 高斯-牛顿增量
! X3 Q' E3 o2 ~" Z% KGeneral census, 全面普查
1 V/ s, f/ O. D" s) xGENLOG (Generalized liner models), 广义线性模型 7 v0 y/ D# u- C* b# K
Geometric mean, 几何平均数& q1 G. o) v: b& @: j8 G& X- U
Gini's mean difference, 基尼均差* |, {- s3 |7 G3 m: m0 A
GLM (General liner models), 一般线性模型
; e+ T; U# Y7 ?Goodness of fit, 拟和优度/配合度
7 @ @, M; Z+ v c; k/ v' iGradient of determinant, 行列式的梯度
! u7 {& U |8 l' T0 FGraeco-Latin square, 希腊拉丁方
w- J8 S) _& m& C1 OGrand mean, 总均值
8 S# C0 i5 \' e C, Y( q, ^, ^Gross errors, 重大错误
5 W& K) O- o [5 @% E9 SGross-error sensitivity, 大错敏感度
; m& ^! o3 e S4 V8 yGroup averages, 分组平均
8 ^# C& j- A1 T3 s" V( v, [) c! \Grouped data, 分组资料7 A. _; O$ @' J- e" E
Guessed mean, 假定平均数# N$ w8 u3 y) v. i
Half-life, 半衰期. a8 R* d' s9 b
Hampel M-estimators, 汉佩尔M估计量; l: M3 h+ P6 b& o$ ?8 ]" d
Happenstance, 偶然事件/ L5 m* ]1 O6 B* i$ \1 U& I
Harmonic mean, 调和均数0 S, L. }* {; f
Hazard function, 风险均数
3 l7 b! d( {$ R* m: y$ NHazard rate, 风险率
. H! S# N3 N* eHeading, 标目
" ?( r& d6 @; AHeavy-tailed distribution, 重尾分布
) y8 O2 s- N2 v9 I! @Hessian array, 海森立体阵
7 q' m$ b9 J5 k9 d4 ?0 RHeterogeneity, 不同质9 R, o* q6 ]0 B2 S1 {
Heterogeneity of variance, 方差不齐 / J3 o, u( g5 b& K3 f
Hierarchical classification, 组内分组8 R: M, k, P4 E% {( p) N
Hierarchical clustering method, 系统聚类法9 h, |; s9 b: B, `. M; l
High-leverage point, 高杠杆率点4 {3 w0 U% A* J& M1 r ` \
HILOGLINEAR, 多维列联表的层次对数线性模型
& Z7 g8 \% N; N$ \Hinge, 折叶点% ~, ?% \+ d* E. u3 ?; f
Histogram, 直方图
6 j4 ^# {9 n: L ^# {; aHistorical cohort study, 历史性队列研究
$ ]' P8 \# m: {5 O1 P. KHoles, 空洞
2 \! c& T5 S3 Y# ~, Y, |HOMALS, 多重响应分析) W1 E) E9 {% M% J. R; e# V: f
Homogeneity of variance, 方差齐性
4 v. m; s! j8 I3 j6 K! `4 CHomogeneity test, 齐性检验
8 B. j9 y/ \; c0 XHuber M-estimators, 休伯M估计量
7 ~, D4 h2 P+ r! uHyperbola, 双曲线6 e6 l/ c5 S( @6 V, q5 a) v7 N7 \$ V; n
Hypothesis testing, 假设检验
# m% i8 N ~ o) G; {Hypothetical universe, 假设总体; r8 r5 x: |+ A3 ^ ` d# p- ?* {# d
Impossible event, 不可能事件& r1 g( y6 w! M) h8 c. |
Independence, 独立性
* y5 g9 q) t. ^ i! F) t* AIndependent variable, 自变量
3 E1 Y0 N1 q) n% _% i( A" M! y @( jIndex, 指标/指数1 V0 i3 Z& `: }! J
Indirect standardization, 间接标准化法
( n! S# q# e* Q2 tIndividual, 个体
( A5 T4 x9 x4 ^4 c" N( `8 LInference band, 推断带( x) ?5 \& o1 W8 w
Infinite population, 无限总体7 m" k* @/ p! K1 v/ C
Infinitely great, 无穷大
0 G4 H" d8 t( s8 F9 `) lInfinitely small, 无穷小
V5 ~7 Y# E3 y% o. @' A! V0 SInfluence curve, 影响曲线
4 u- [" J& K5 z+ s# T! }Information capacity, 信息容量+ r" j ^6 T" O' n5 Y+ h
Initial condition, 初始条件
4 {, L6 F$ l( l0 C, D- l* JInitial estimate, 初始估计值$ \3 f8 Y# P* N2 e4 T) w
Initial level, 最初水平$ w( x' e0 D. m$ W9 k' C- P
Interaction, 交互作用% z8 {3 y2 F& E4 a
Interaction terms, 交互作用项; a3 ~' R3 U7 u1 X
Intercept, 截距
1 k" b. j- M9 _Interpolation, 内插法3 v/ T$ @2 V& e4 g) G
Interquartile range, 四分位距# T; {7 @, L2 V3 o& k
Interval estimation, 区间估计6 Z$ ]6 {' F" }: b% h
Intervals of equal probability, 等概率区间
6 H& |! Y; C+ ]" kIntrinsic curvature, 固有曲率
$ E7 S- m, D. A) z8 K/ F9 l0 C. E0 VInvariance, 不变性3 N4 v& M! P9 D
Inverse matrix, 逆矩阵
: y7 k& p' q+ UInverse probability, 逆概率
1 R5 s+ Z- E* G% ]* XInverse sine transformation, 反正弦变换: N3 G, B$ Z1 W$ ^$ Q
Iteration, 迭代
; ]* G* D1 E) l( \Jacobian determinant, 雅可比行列式6 b1 G* Q9 K. F& W: X1 J6 ~! g0 w
Joint distribution function, 分布函数5 B M* f2 I9 G. Y7 z: o2 E7 q
Joint probability, 联合概率 Q' [# T4 [6 s
Joint probability distribution, 联合概率分布
0 N: `/ c, f$ Q4 V# G& {K means method, 逐步聚类法
7 C* d0 u- f4 r% hKaplan-Meier, 评估事件的时间长度 L% a5 @" Z1 f# Y# b: d; O
Kaplan-Merier chart, Kaplan-Merier图; f5 K0 l7 Q" D" c4 y3 M. v
Kendall's rank correlation, Kendall等级相关7 V* U( u" I: x3 ]+ E1 d
Kinetic, 动力学
1 r) i+ i) Z1 ~4 p" pKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验) s( d4 A, M+ y0 c0 A
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验8 b! `- \/ ]8 W
Kurtosis, 峰度
- T# T6 W3 E$ h, {" QLack of fit, 失拟- b1 Q7 T7 U( }7 f& E
Ladder of powers, 幂阶梯5 f" M/ C9 M6 t" D! \
Lag, 滞后
# f0 V0 h( y; o2 \3 l8 VLarge sample, 大样本, ~7 m+ L" n% Y& x0 m
Large sample test, 大样本检验$ X0 h( \5 b8 k0 _0 T {
Latin square, 拉丁方1 y d9 n9 X# ^7 P
Latin square design, 拉丁方设计
( F# p: ~; S7 B+ p, e. T4 X% gLeakage, 泄漏
- n" t0 M& e4 p8 z5 L6 W2 q% {' YLeast favorable configuration, 最不利构形; x! D+ M; S' j) {, \+ Z( [) S
Least favorable distribution, 最不利分布
5 ~# \) s7 |! @, o0 K, b, ^Least significant difference, 最小显著差法0 B& j9 b4 [+ y$ [
Least square method, 最小二乘法
8 [- X7 H7 a6 R1 r3 e: H9 OLeast-absolute-residuals estimates, 最小绝对残差估计
+ E$ b# A4 K' y7 `& QLeast-absolute-residuals fit, 最小绝对残差拟合
9 C$ V( P1 E4 a" F' l! ?. M8 HLeast-absolute-residuals line, 最小绝对残差线
% n% f7 |1 e1 C. q9 ?! H( d' ?6 [Legend, 图例
2 q6 U% G% O; x3 C+ p, TL-estimator, L估计量
, |1 Y, U9 x$ fL-estimator of location, 位置L估计量5 I* U6 H1 I. h" v. `+ M
L-estimator of scale, 尺度L估计量
& } x7 H8 E& {/ N! cLevel, 水平& n$ N6 F, [: B# ?. W6 c
Life expectance, 预期期望寿命# i8 u: Y2 R) n4 e# z
Life table, 寿命表/ _; x" k4 G* c/ W9 D
Life table method, 生命表法+ c: t; E6 d5 d) X* e
Light-tailed distribution, 轻尾分布
/ |# I/ J; `$ H6 i7 D- TLikelihood function, 似然函数
3 \8 v) d6 \* R# gLikelihood ratio, 似然比" l6 | P4 _: Q" M
line graph, 线图
' Z' { H ?, V- a# y/ }Linear correlation, 直线相关6 V" x! D I8 S2 H- q, R J
Linear equation, 线性方程
! j* T# ]2 m3 b. i& GLinear programming, 线性规划
; x8 P2 h' S6 _. |% v' GLinear regression, 直线回归1 o( f( e T6 L& Q& @
Linear Regression, 线性回归, B! w" B h* |
Linear trend, 线性趋势
$ j- Y0 W; H+ _Loading, 载荷
. |. h0 w7 T r/ i4 [- q! ]5 WLocation and scale equivariance, 位置尺度同变性
4 J+ N4 P6 g. X5 }Location equivariance, 位置同变性5 U1 v% X* M$ F( o5 w9 H/ E
Location invariance, 位置不变性7 d6 h; D* T/ u) ^$ ~& f0 _5 v( d
Location scale family, 位置尺度族
+ q8 D" w, z9 F9 o6 d: ELog rank test, 时序检验
7 V2 d- S; w8 d, l5 }- ^8 kLogarithmic curve, 对数曲线
: a# f. Y+ `, d2 A7 LLogarithmic normal distribution, 对数正态分布, v4 F* K0 [* s; k( i
Logarithmic scale, 对数尺度* |+ M+ k1 m+ A+ z7 x# N
Logarithmic transformation, 对数变换: U n/ @* F0 c( e; [1 h& g" ]* _
Logic check, 逻辑检查
F: `- P4 h- h qLogistic distribution, 逻辑斯特分布, K# o5 n. U- y1 l: ]) _1 a8 P
Logit transformation, Logit转换* {/ y5 L4 h5 _$ X
LOGLINEAR, 多维列联表通用模型
: o% `9 \1 o" @* c' F$ YLognormal distribution, 对数正态分布& u% E. E! t# [* {& M
Lost function, 损失函数
9 h3 N. [; ]% ?; F$ x% fLow correlation, 低度相关 |9 T; e, Y; a! h
Lower limit, 下限
- A- t/ o8 m. j$ m8 a5 X( ?* J- u9 SLowest-attained variance, 最小可达方差# i4 x9 V5 `* ?/ h- | i
LSD, 最小显著差法的简称
! b/ c0 H0 p1 k* ]- |2 sLurking variable, 潜在变量
# n+ M4 \. |1 M" [' XMain effect, 主效应
: n% C4 e9 p1 o7 c( d- Z7 }Major heading, 主辞标目* r; C. j- G. o5 m8 U. s' b
Marginal density function, 边缘密度函数" u. _0 T% ^. ]1 h
Marginal probability, 边缘概率, f/ [0 s5 {* _. ?) z6 t/ E
Marginal probability distribution, 边缘概率分布
+ r3 n6 t& i9 X5 ]# `9 dMatched data, 配对资料
# C2 I! {, I2 G- q- G; `5 pMatched distribution, 匹配过分布
0 H! o* K/ Y) |9 U% UMatching of distribution, 分布的匹配1 b8 Z& B% t a+ E6 k4 i( [
Matching of transformation, 变换的匹配
* M7 U: k# J* Z, TMathematical expectation, 数学期望1 s! c0 m6 X3 m$ @9 d! ^+ n
Mathematical model, 数学模型
- |! f2 P* h& b. j- f6 TMaximum L-estimator, 极大极小L 估计量0 P, G0 g' y+ H$ @' ?$ y3 m
Maximum likelihood method, 最大似然法, o: `9 r% y* D/ r
Mean, 均数# N& x' h) L* w" B J/ e) s5 _* O
Mean squares between groups, 组间均方) P1 @# ]3 M' n, m6 b$ u% E5 u% \
Mean squares within group, 组内均方
: r, \3 H& B7 G% p8 N; h& i, l( G: oMeans (Compare means), 均值-均值比较" `. ^( t. w ~3 _* S' m! Z, w
Median, 中位数
. Z, _: e l' p8 q$ v- Z$ k$ W% sMedian effective dose, 半数效量8 o3 t) e; H* }( A8 |& ^
Median lethal dose, 半数致死量
2 ^% _9 P5 g9 y; D% @0 B- LMedian polish, 中位数平滑1 R! Q4 D+ G5 m- G0 O; \3 \- W
Median test, 中位数检验
/ k8 q5 |7 b5 _& r2 G4 `1 rMinimal sufficient statistic, 最小充分统计量
3 u/ f2 d2 S+ U* hMinimum distance estimation, 最小距离估计8 c; h4 V7 T& B
Minimum effective dose, 最小有效量
2 }6 l9 m% h; z! t, T% g! BMinimum lethal dose, 最小致死量4 P; t: r& n8 Y$ R5 D- `) t- p% W5 o: S d
Minimum variance estimator, 最小方差估计量
2 t) ]" S5 \/ |6 ZMINITAB, 统计软件包+ }* Q# c1 O9 r/ p
Minor heading, 宾词标目+ b# ?, E. O! l
Missing data, 缺失值5 Y7 S ^; l$ H' W7 x
Model specification, 模型的确定
) O$ |# g+ K ~Modeling Statistics , 模型统计; |" n7 f( g/ X7 [9 N ?
Models for outliers, 离群值模型
7 V6 ] ~5 y7 ?5 W- P. VModifying the model, 模型的修正; s) X6 I: F& Y5 w. m0 P* x5 [: h- K# J
Modulus of continuity, 连续性模
4 x d& E4 e, H0 w# X" `& F, cMorbidity, 发病率
, J, w/ g0 e+ b2 oMost favorable configuration, 最有利构形7 p# P( n+ @8 ~; N4 T
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
5 q& i) J- v2 c8 z% u9 d( c4 ~Multinomial Logistic Regression , 多项逻辑斯蒂回归+ G4 ]/ a5 z+ I! n+ g
Multiple comparison, 多重比较 `$ o# X/ F4 v) i9 F
Multiple correlation , 复相关4 ~3 b& D& |5 O$ b( w+ l
Multiple covariance, 多元协方差0 J+ }* A' I" c
Multiple linear regression, 多元线性回归
) D4 V! B8 v0 EMultiple response , 多重选项
9 v6 T& w/ B8 h9 OMultiple solutions, 多解4 p+ }5 V. t. f$ \- N7 I
Multiplication theorem, 乘法定理
+ K8 `9 L, S' l+ wMultiresponse, 多元响应: D; v& v1 G; `1 z) j5 T3 T& R; e6 \ ^
Multi-stage sampling, 多阶段抽样
3 M9 S% j) k+ z* YMultivariate T distribution, 多元T分布
" t0 o% A& P$ |% x! Y; v/ {& R1 _Mutual exclusive, 互不相容
4 \0 `: N* { wMutual independence, 互相独立- u4 u* o# O* _; q! r. O( {: b; S6 W
Natural boundary, 自然边界
|# v$ F% c/ S0 V7 H& v! I7 TNatural dead, 自然死亡8 M1 S2 v. g, z5 }4 X
Natural zero, 自然零 x! H# R. y+ `) ?: Y, y# y
Negative correlation, 负相关! ~ j g/ z; R
Negative linear correlation, 负线性相关
2 c$ |; d, K4 Q! I" K; h- CNegatively skewed, 负偏+ p& E8 q! E9 d9 _* x+ i9 l0 l9 C0 H
Newman-Keuls method, q检验6 H4 _ J: Y, c
NK method, q检验
- m% N0 {: p2 O* `) P' q* D XNo statistical significance, 无统计意义$ b4 h% d( w+ r0 y
Nominal variable, 名义变量) z/ d3 S' m7 K9 e
Nonconstancy of variability, 变异的非定常性
& u2 x( l9 O1 L1 D! J; ^Nonlinear regression, 非线性相关! ^0 s- \7 M6 V, k& v P* H
Nonparametric statistics, 非参数统计
, `8 s9 n7 ^" t6 k) WNonparametric test, 非参数检验
7 m4 }; O: H, j3 rNonparametric tests, 非参数检验: ?6 l3 A+ F, Z C& d: @
Normal deviate, 正态离差, F! K, r( m# O8 ^# S5 S. q
Normal distribution, 正态分布
3 l% K$ p2 r0 ~: J9 VNormal equation, 正规方程组
L& C2 [/ ~. G! y9 a9 ?Normal ranges, 正常范围
. Q8 L1 |, u+ b# m! XNormal value, 正常值
: u% B& a, H1 W# c& ENuisance parameter, 多余参数/讨厌参数6 i0 q1 J7 _: U! |7 }" Y! C
Null hypothesis, 无效假设
! R! |2 A5 a2 T, J1 LNumerical variable, 数值变量
' V' c1 T' L0 T* x! x: u3 EObjective function, 目标函数* w6 ]# I/ L- D! G6 {
Observation unit, 观察单位2 ?1 j, q( j5 \9 L
Observed value, 观察值
2 U# ^! l7 t" b$ _One sided test, 单侧检验. t' T* @. _% D1 ]& e4 t
One-way analysis of variance, 单因素方差分析4 j+ q0 s+ f- B5 D! H
Oneway ANOVA , 单因素方差分析6 R& P% X! l3 |# u
Open sequential trial, 开放型序贯设计
! J! `; K5 ~. O z" F8 `; IOptrim, 优切尾
7 w% N" @" K* B' POptrim efficiency, 优切尾效率
; X5 F g6 L# G$ u- x2 mOrder statistics, 顺序统计量
9 Y: B; m/ U) i; A; H. KOrdered categories, 有序分类
2 N' l2 X4 c3 A, rOrdinal logistic regression , 序数逻辑斯蒂回归
8 F/ M1 F- {# e, POrdinal variable, 有序变量/ T. J# F, J9 ~ Y/ a O4 ]9 ~) B* y
Orthogonal basis, 正交基. ~8 {5 F4 M$ S
Orthogonal design, 正交试验设计
* m6 T+ U$ c) S6 C* o3 gOrthogonality conditions, 正交条件
F1 G/ `3 p* D% @& b- UORTHOPLAN, 正交设计 + B/ F0 a0 J4 B4 U, Z% f3 F
Outlier cutoffs, 离群值截断点% }3 | n/ _! H+ _. {: o3 \
Outliers, 极端值
/ t$ v- Y' K" v- C! n j( v KOVERALS , 多组变量的非线性正规相关 9 V! v" c( a4 S8 K0 l) {
Overshoot, 迭代过度
& G# @- Q& n. lPaired design, 配对设计" [" s: w1 W" M1 p/ ?; g
Paired sample, 配对样本
* K5 \- e/ E$ U3 A0 @: _+ x1 aPairwise slopes, 成对斜率3 S# }) v/ ? ~6 d$ d1 V# R
Parabola, 抛物线
8 d5 m, O% ?- XParallel tests, 平行试验8 h% ?3 j# _% K* R; b$ G
Parameter, 参数' b$ B) o- M+ Y5 H- s2 h4 ?% N
Parametric statistics, 参数统计
4 e! x# X4 V3 {4 C& m. F! DParametric test, 参数检验7 R1 c- T0 U5 P( Y4 B6 w& [
Partial correlation, 偏相关
) y: c' S# `5 JPartial regression, 偏回归3 |! w5 ?7 i1 O0 U v S9 y" D
Partial sorting, 偏排序7 u( G3 U" C' \4 _" K6 ~7 [0 e
Partials residuals, 偏残差
8 h4 G$ _+ Y# R: TPattern, 模式0 c) _- M4 x3 z6 J$ }8 P6 K) v
Pearson curves, 皮尔逊曲线/ p( g" `4 k6 `: \3 t8 Z7 x5 y
Peeling, 退层' U; \' V% `& n2 p" Y# Z
Percent bar graph, 百分条形图$ e' u) R$ T. Q( f+ {4 R1 q
Percentage, 百分比
$ S! D; D) I8 `' E* z) ?, s8 \6 z6 }Percentile, 百分位数% n0 t5 J& N3 a! C1 x" j
Percentile curves, 百分位曲线& o' {8 G5 e1 S% t% [4 x. a" ]
Periodicity, 周期性4 q8 H* m/ t9 d! J+ A5 S5 A9 b
Permutation, 排列6 c4 ]1 ?0 N. [
P-estimator, P估计量0 s* Y0 l0 N& a; p4 b: t
Pie graph, 饼图$ \* A+ Y# A8 {4 C5 P& \: W
Pitman estimator, 皮特曼估计量
+ q8 ~+ X4 Q) x1 BPivot, 枢轴量
2 _! A2 `( ?6 J% r3 zPlanar, 平坦3 e! c. v. ~% u8 Z3 U- z( C) t; [$ m
Planar assumption, 平面的假设) W3 c$ _ A( H* M6 [- X$ ?
PLANCARDS, 生成试验的计划卡
! D1 b1 \; f; nPoint estimation, 点估计7 G! `; Q; m+ R" K6 x5 [- J
Poisson distribution, 泊松分布: C$ F9 |. R* O* l1 A% h) Q4 }
Polishing, 平滑
- K% P" S) T( l; `! mPolled standard deviation, 合并标准差
: Q: }" o4 X& [0 E" Y ~4 aPolled variance, 合并方差
3 a: l! n& V3 E+ V7 O4 F `Polygon, 多边图2 L# M, D0 x+ a5 X2 [# K2 w8 d
Polynomial, 多项式
/ x. Y5 C/ |3 S& y$ HPolynomial curve, 多项式曲线9 ]) w# @7 K8 S7 s- t( N
Population, 总体
$ Q% p/ n5 b# X* y" vPopulation attributable risk, 人群归因危险度
" [" _7 h/ D9 g K! ]Positive correlation, 正相关
R/ G$ y" a% P! x; vPositively skewed, 正偏
( ]5 ^) l8 \6 l0 |3 zPosterior distribution, 后验分布0 x+ v' E. O) h# e/ J- S; K
Power of a test, 检验效能: m: Q5 |; R" \& U% ^$ z
Precision, 精密度
5 h7 r! {, W5 c8 e1 XPredicted value, 预测值2 c3 }: t K8 a
Preliminary analysis, 预备性分析; [* n0 e c6 S/ v
Principal component analysis, 主成分分析
' b; L1 |+ M9 d) X2 y% [) w8 H2 HPrior distribution, 先验分布
6 _7 N2 @) h( Z6 U H) |Prior probability, 先验概率. x+ z4 Z1 d; t, m, t- R, y. R0 r
Probabilistic model, 概率模型: r- R( J0 x2 g* y
probability, 概率
& r2 F. S1 V% ]Probability density, 概率密度
, [5 g1 T: n2 z: M9 P# m* e, ~Product moment, 乘积矩/协方差) ]0 n2 C$ U! M. f5 D
Profile trace, 截面迹图6 k! \, K5 O' u2 W
Proportion, 比/构成比
}& u% P! T3 B. VProportion allocation in stratified random sampling, 按比例分层随机抽样
% @1 [9 V. l) A8 A5 R& |Proportionate, 成比例
+ h, m1 u0 h2 ?7 ~8 k/ c; O% {, h- _Proportionate sub-class numbers, 成比例次级组含量& Q6 R& ^& P( e3 |8 N A# t1 i
Prospective study, 前瞻性调查
! } ?9 q$ @5 T# xProximities, 亲近性
% _1 b6 ^) T7 o% SPseudo F test, 近似F检验8 ?: `) f' Y% W; k$ _ P0 k8 S# w+ T0 v6 l
Pseudo model, 近似模型
! W1 o/ z; m+ M5 ?1 A& a6 ePseudosigma, 伪标准差
2 y6 [3 [& R- l& L+ Z1 wPurposive sampling, 有目的抽样
& `4 I8 i! ^( K7 u) j YQR decomposition, QR分解
* t+ I9 R9 l: }+ X& YQuadratic approximation, 二次近似
5 |5 x: L# a) \- ^1 D+ h3 aQualitative classification, 属性分类3 ?* o/ o% u3 P: y& n4 o/ V
Qualitative method, 定性方法: }/ Q' g" E, j: B) Z, ~
Quantile-quantile plot, 分位数-分位数图/Q-Q图
h' L0 a# N5 \2 e) y; fQuantitative analysis, 定量分析
" I2 m. s& @' \- U6 W5 ?8 M+ RQuartile, 四分位数) ^# f% |5 A$ p2 {
Quick Cluster, 快速聚类4 \; H: }5 ]0 b. O$ M# w& P/ C
Radix sort, 基数排序
% x; T* ? A1 iRandom allocation, 随机化分组7 K, }3 u! |) s. l- I2 q) F
Random blocks design, 随机区组设计
4 q! z& O+ c# F' ?0 _0 VRandom event, 随机事件# V/ r" G" M& e/ D
Randomization, 随机化
6 ~1 @) @) v: e& |$ ZRange, 极差/全距
: u3 @: H) V5 J7 J$ zRank correlation, 等级相关 ]- N+ I% P4 U& y' ~$ L1 V9 K
Rank sum test, 秩和检验: g- Z$ K/ g+ {6 w y
Rank test, 秩检验
/ J7 d4 w' Y& aRanked data, 等级资料
l* q; M( W, S7 y3 m. FRate, 比率' g' C f3 I% }7 H
Ratio, 比例" o6 s; O$ b u' ]
Raw data, 原始资料
4 D2 k0 l6 E1 e% V# nRaw residual, 原始残差
. }8 M3 `' n! v/ sRayleigh's test, 雷氏检验5 \) J. B" `- _# L' g% \
Rayleigh's Z, 雷氏Z值 % Y& v6 T# H3 F( I
Reciprocal, 倒数' X7 `1 P* `& ?0 t; D' g' f& j
Reciprocal transformation, 倒数变换 ]9 G; Z0 J( \) p( r7 j/ i# j
Recording, 记录9 J5 }3 i$ q; Z& H+ f& N3 T( W* Q
Redescending estimators, 回降估计量
5 z2 a' P, P$ v& K4 r$ f8 E4 XReducing dimensions, 降维' v6 q. Q y: t2 l
Re-expression, 重新表达
; B3 J, }; ?, O) QReference set, 标准组
" {( H, D, }( f/ n7 |Region of acceptance, 接受域2 {/ E J& O& D! }
Regression coefficient, 回归系数
8 w( d- h J9 v7 w+ ?. ZRegression sum of square, 回归平方和! T% w% y9 i4 `$ _6 k$ v& N
Rejection point, 拒绝点
/ Q P9 ~+ |. r6 k y1 V" |Relative dispersion, 相对离散度7 Y2 u8 ~/ O7 z+ g7 [
Relative number, 相对数8 E4 l4 F1 ?/ q4 i3 A/ c7 B
Reliability, 可靠性! e6 j7 u/ A# `. P
Reparametrization, 重新设置参数
4 G- n* ^/ F f+ `) x! Q2 iReplication, 重复! T3 C. p. ?7 `, c% A. q o+ N) f
Report Summaries, 报告摘要
$ T0 |: G" v5 T" v8 W: jResidual sum of square, 剩余平方和
! b8 A8 x- `9 X3 F/ o2 jResistance, 耐抗性
7 ?3 p# {: x! X, Q) @Resistant line, 耐抗线
6 n |* X; c4 ^9 Z9 TResistant technique, 耐抗技术, p' f% h- [% C+ z" W% A
R-estimator of location, 位置R估计量" F" D' }. o, r- o
R-estimator of scale, 尺度R估计量; `! X) G( i. A5 O$ ~9 B4 e# Y
Retrospective study, 回顾性调查
6 d. S3 t4 J Q v' _, xRidge trace, 岭迹
: V0 W' N8 O3 b. V5 @Ridit analysis, Ridit分析
. C- q5 z0 l1 Q; S8 j2 mRotation, 旋转, |9 t a3 F+ T* g/ K9 O j, m
Rounding, 舍入
* x8 N! a8 z3 W, [& d7 ?) h' f9 |' ~Row, 行* T: _! w# F: F, h3 q) w: u; e
Row effects, 行效应
% u2 @, E% L/ X/ q& z7 ORow factor, 行因素
: n) U* D \0 \6 M: R2 k( D0 HRXC table, RXC表 t) s; G+ f) l: V* z
Sample, 样本& p, q- V& `" ?' F' F' {
Sample regression coefficient, 样本回归系数
/ e O n! O% W! n8 hSample size, 样本量" X1 P* d# y: X* a8 u9 L' d' G
Sample standard deviation, 样本标准差
& W2 F4 ~2 Y) b! z @' c" c1 ESampling error, 抽样误差
( K- L5 ~+ T$ d$ N& [SAS(Statistical analysis system ), SAS统计软件包
* {8 Q9 j, Y& w1 A& JScale, 尺度/量表1 L1 c' b9 z8 J% A. e' D0 T# D" w. b
Scatter diagram, 散点图
( l4 f! a+ w6 Z/ W# k2 vSchematic plot, 示意图/简图
7 _- z& i! ?, ~* FScore test, 计分检验
3 m& F1 Q+ n! Q& AScreening, 筛检
9 r% w7 N- i( z8 O3 D @3 s( VSEASON, 季节分析 0 w8 V3 g5 B- v4 O! @; G# @
Second derivative, 二阶导数' u9 ]! j- g8 d) k' s& L1 P
Second principal component, 第二主成分
% O5 F! @& u# q! fSEM (Structural equation modeling), 结构化方程模型 5 h( g( Y! h7 c0 Q$ g5 u& F/ n4 M9 D8 B
Semi-logarithmic graph, 半对数图. y+ G% f6 e3 S# @/ M" S0 U
Semi-logarithmic paper, 半对数格纸
# S! {* U; m2 P: X J! vSensitivity curve, 敏感度曲线
& Y2 c5 z; u9 `Sequential analysis, 贯序分析9 r- p$ K6 g( h# _
Sequential data set, 顺序数据集
8 A6 ~; e: e! F" h5 FSequential design, 贯序设计
5 X( D/ f$ G( V; h2 \Sequential method, 贯序法
" I# f# I, J& Z! d- O8 XSequential test, 贯序检验法 S O) p, P0 K" ~1 Y
Serial tests, 系列试验/ E* l R/ Z- B" _: E
Short-cut method, 简捷法 4 v; g# u* M2 j% p7 d! i
Sigmoid curve, S形曲线
% b- y8 T5 l0 mSign function, 正负号函数2 Q P: b4 B9 l$ `: m9 r
Sign test, 符号检验" W" w; n7 w8 B3 O& W2 @$ ^& H- \
Signed rank, 符号秩: O% i( L% Y7 n1 D. X, a
Significance test, 显著性检验
1 ?1 I( ~) h, Z6 t$ g% L! wSignificant figure, 有效数字; m: {% G' V) _* v+ y! z/ p
Simple cluster sampling, 简单整群抽样" E" P2 o( |3 e$ m6 K" H
Simple correlation, 简单相关
- _, A, D9 [( rSimple random sampling, 简单随机抽样
6 ^- c7 N0 a$ r8 j8 zSimple regression, 简单回归' d" k0 j! [9 u$ J$ p; e' o
simple table, 简单表
0 |4 [# E9 p& }# t$ a# \/ bSine estimator, 正弦估计量$ D8 h9 D7 E! |( c. q8 O
Single-valued estimate, 单值估计
- g, l/ y8 s, @7 x* USingular matrix, 奇异矩阵
?: B, n& |. k ?) nSkewed distribution, 偏斜分布
- K2 C! y. W3 f \$ W+ wSkewness, 偏度
9 g) J$ O7 x3 i% s# t4 r! uSlash distribution, 斜线分布7 k k' Z4 L' A0 M
Slope, 斜率; h" n& S9 Z6 q, [7 {2 W) _0 i* y
Smirnov test, 斯米尔诺夫检验: q0 H& V0 }5 t. w% z6 C1 N
Source of variation, 变异来源
7 u$ J ~4 ]2 Y2 C' a7 VSpearman rank correlation, 斯皮尔曼等级相关, _' |+ b* e& s2 p" b
Specific factor, 特殊因子
% J$ M. ^1 _( X5 H5 Y$ aSpecific factor variance, 特殊因子方差% c- Z/ u8 n2 @+ L
Spectra , 频谱$ r; r* ^, B& f4 y* e
Spherical distribution, 球型正态分布
5 [% H9 a8 x/ C4 i" F9 w, g) MSpread, 展布( e2 r% J. I* B) i5 m0 D, j
SPSS(Statistical package for the social science), SPSS统计软件包
; ~! C7 u* ?. q4 aSpurious correlation, 假性相关
W, t' Y9 j. D9 FSquare root transformation, 平方根变换
& {5 g; Y; B& D' e# wStabilizing variance, 稳定方差9 I5 k2 s7 U0 x- v5 `' \
Standard deviation, 标准差1 j6 X6 q3 w! [8 {
Standard error, 标准误
5 Z+ D7 @$ M W! h# @Standard error of difference, 差别的标准误+ U0 }/ B4 Z* U' d6 _+ {! v
Standard error of estimate, 标准估计误差# z. E! u. l. [/ u+ e0 i
Standard error of rate, 率的标准误5 a2 }! h; d% g" k
Standard normal distribution, 标准正态分布
3 H0 c `* r" g! uStandardization, 标准化
) s% O* J- q x, eStarting value, 起始值
% [, n% Z) ~4 m' `1 qStatistic, 统计量
$ A4 m) r. t; |7 P7 H4 @5 D3 gStatistical control, 统计控制
6 M; W) I' l, y! UStatistical graph, 统计图% n" u! ~0 e, c) [: o1 y9 {
Statistical inference, 统计推断
: V6 w. M* z0 U4 m& \8 D! z. N& YStatistical table, 统计表
7 i8 F$ Q1 _7 M4 G. s$ m5 [" gSteepest descent, 最速下降法( H2 c: w! z5 |
Stem and leaf display, 茎叶图
+ f$ Z7 y7 h; j3 K3 |1 CStep factor, 步长因子% q; `" { v- h d6 c' N
Stepwise regression, 逐步回归
5 G7 L9 n% A a9 }8 NStorage, 存
. b, ~; H( K6 Q. Q% O& ]Strata, 层（复数）( S8 U9 G: z _. f1 r( U
Stratified sampling, 分层抽样
. g5 k/ C9 d; @, { h" e2 UStratified sampling, 分层抽样
" F) G+ g" I; GStrength, 强度0 R# L+ ~* L$ ^
Stringency, 严密性( u3 s( d2 z9 d5 W
Structural relationship, 结构关系& g9 w; W" ^8 ~ Y$ }) {! N
Studentized residual, 学生化残差/t化残差
2 z2 ~' q% \* F) H. nSub-class numbers, 次级组含量
( g2 u6 l+ I8 V& b6 wSubdividing, 分割2 e/ w$ O; [# Q' y- j
Sufficient statistic, 充分统计量4 G% f; k# d1 A$ A* y& L$ o
Sum of products, 积和
: {9 R6 u) {: O9 d+ ^, H3 l5 }Sum of squares, 离差平方和8 Y' m5 | |) Q' j7 H; ^7 ~
Sum of squares about regression, 回归平方和
: y" b" E4 V0 y( h1 T% V7 iSum of squares between groups, 组间平方和% B' a3 j* W/ L
Sum of squares of partial regression, 偏回归平方和7 S6 [" f2 ]: T" }
Sure event, 必然事件3 X! f6 o2 N/ ^1 G$ _+ p. t+ H- y
Survey, 调查
/ d, O' Y: P: C$ n/ Q# _' h* MSurvival, 生存分析/ h" Z5 ?8 H x. a& }& a+ U- X
Survival rate, 生存率$ z) }8 ]9 @" v% N& w6 T4 ^
Suspended root gram, 悬吊根图
. x/ [1 R+ F3 _0 y" V5 J- L; xSymmetry, 对称
% |1 [) r4 i! v) k* x G/ \Systematic error, 系统误差
& m' f9 n' D) l0 O6 |Systematic sampling, 系统抽样
; V5 X5 J& r7 h9 G/ gTags, 标签
) ~* x. N* H M4 w7 Y# F% s6 x: xTail area, 尾部面积8 R/ K% A* C' @+ ?; F) |8 J
Tail length, 尾长# L6 O4 n/ I( \0 m) e" i/ D7 ?6 n% [
Tail weight, 尾重 E: o9 G1 P9 {1 b; ~
Tangent line, 切线
% B7 i' w9 p! K' y# d* W3 }Target distribution, 目标分布2 s8 \ r* o5 i
Taylor series, 泰勒级数
* ?' n* p% V2 ^* bTendency of dispersion, 离散趋势" G$ z6 ^2 |2 p
Testing of hypotheses, 假设检验
1 b; m+ {" g. W9 ^) Z; dTheoretical frequency, 理论频数
, x1 }) b/ G% RTime series, 时间序列) n, a [1 O3 G3 t; F$ ~# _! Y+ g
Tolerance interval, 容忍区间
+ V" z- r p6 H, l! ^0 h# a6 gTolerance lower limit, 容忍下限$ A+ T! X' P2 z6 S: u
Tolerance upper limit, 容忍上限
" `2 M# s$ s T" vTorsion, 扰率$ l- Y# I) L% e: g
Total sum of square, 总平方和6 e2 \- l' i6 t8 q3 l- J6 L
Total variation, 总变异' \& ]7 V) H' r: T l, r
Transformation, 转换2 { }# k8 x6 |5 [( p, c& k; ]) P
Treatment, 处理* ?" j- o0 s. [- G7 S1 Q
Trend, 趋势
+ D" X6 D- ? I' U6 x2 XTrend of percentage, 百分比趋势0 i( a' k* @ W+ G1 m/ H; Q; Q
Trial, 试验0 ^7 J2 w2 [. G* d2 w
Trial and error method, 试错法/ p$ ~7 \% ?6 N6 N
Tuning constant, 细调常数+ O# P- t7 J4 [" Z( q* t
Two sided test, 双向检验
# S% |9 t$ J4 h1 Y7 _7 G, |Two-stage least squares, 二阶最小平方/ K$ A7 U, B* [0 Q+ ], V, f* B
Two-stage sampling, 二阶段抽样! Q' D0 T* A7 r$ m) c
Two-tailed test, 双侧检验' V/ N( k8 ~, o% w) v
Two-way analysis of variance, 双因素方差分析# J m7 L7 N( N- t1 p; X' x* \
Two-way table, 双向表# n+ }& J6 J9 K5 x4 K* t4 Q8 }
Type I error, 一类错误/α错误
, H0 M* ]) c6 B- c W8 D" YType II error, 二类错误/β错误
- _! Y5 E5 P& RUMVU, 方差一致最小无偏估计简称0 t8 _# N1 L5 {
Unbiased estimate, 无偏估计8 n, e, ]) F$ h6 h
Unconstrained nonlinear regression , 无约束非线性回归( u* V. i/ J' l) m$ W
Unequal subclass number, 不等次级组含量; l Y- b5 }' y B1 t. V
Ungrouped data, 不分组资料& |. ~2 B3 X. r' B. o3 U
Uniform coordinate, 均匀坐标 O3 @5 m/ r8 x, y* o) p6 m( `
Uniform distribution, 均匀分布
+ x1 t6 M( N a8 B' w. dUniformly minimum variance unbiased estimate, 方差一致最小无偏估计$ b4 Q: h; [/ K2 z- O
Unit, 单元0 O- L6 J+ c# r7 k' k7 n
Unordered categories, 无序分类
, q' a: C- J- B! y# _Upper limit, 上限9 }( Z; j5 L- q* y% ~
Upward rank, 升秩
0 h! ~2 D9 |6 M, h2 K8 V RVague concept, 模糊概念
j. G) [% _- R( ^- `Validity, 有效性2 J! W4 c8 K5 h, y
VARCOMP (Variance component estimation), 方差元素估计
9 R/ d1 |. K! c9 [Variability, 变异性5 a9 r7 E0 C0 F! E. Q5 Y9 A' ^& u
Variable, 变量
; U( v4 I" H# A1 o) O. ]Variance, 方差
; ]' @& i: V5 E: rVariation, 变异
( [+ w: l- E' qVarimax orthogonal rotation, 方差最大正交旋转
* ~' l+ [% m9 }( k% tVolume of distribution, 容积
7 X* s. O! U- n* RW test, W检验. _, _: V# C/ p9 r
Weibull distribution, 威布尔分布, J4 t j0 L. m( H
Weight, 权数: Z+ T( c# n; g+ }: L
Weighted Chi-square test, 加权卡方检验/Cochran检验
+ W4 m4 ?, b: M9 {Weighted linear regression method, 加权直线回归8 |' x$ J: V* j! Y8 N6 n, J `
Weighted mean, 加权平均数
2 ^" T. z+ q6 J# k8 aWeighted mean square, 加权平均方差% G" r% A' F- L; _- S& L( i! |
Weighted sum of square, 加权平方和
6 d+ U9 W1 ]+ s, VWeighting coefficient, 权重系数0 G3 r" j" d' f4 x
Weighting method, 加权法 % ^- K: J" }) D. \
W-estimation, W估计量, U% l5 Z0 ]' S' K% w4 `0 O" A* ]
W-estimation of location, 位置W估计量
! L+ P- w$ K* D( Q, K0 n+ JWidth, 宽度
# d! T1 U v6 ^$ h/ d* k5 n5 g0 uWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
/ b- \5 W* s; P. BWild point, 野点/狂点' l; e4 ~% ]5 a7 Y
Wild value, 野值/狂值
( h+ V& Y5 s( Y5 o9 v2 X, cWinsorized mean, 缩尾均值
" ?6 w& {( n5 A7 @8 p+ L8 NWithdraw, 失访
3 T% b; b2 R) w, i, T/ jYouden's index, 尤登指数
. f$ J6 y% W aZ test, Z检验- `2 \) x K @ ?9 w/ V) n$ V
Zero correlation, 零相关+ @: y8 `; p* y; ?! Z
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
